Data Science Intern

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Work Mode

Remote

Job Type

Internship

Job Description

Position: Data Science Intern

Company: IGNITERN

Location: Remote

Duration: 3–6 Months

Stipend: Unpaid

Type: Internship (Certificate Provided)



About IGNITERN:

IGNITERN is a forward-thinking digital solutions company dedicated to nurturing emerging talent in the tech space. We focus on real-world problem-solving, innovation, and offering early-career professionals an opportunity to explore and grow in their field.



Internship Overview:


We are seeking Data Science Interns who are passionate about data, eager to build models, analyze trends, and create insights that support business strategies. If you're enthusiastic about applying machine learning and statistical techniques in real-world contexts, this internship is for you.



Roles & Responsibilities:


Assist in collecting, cleaning, and preparing data for analysis


Apply machine learning algorithms, statistical models, and exploratory data analysis techniques


Collaborate with cross-functional teams to define problems and propose data-driven solutions


Develop visualizations, predictive models, and performance reports


Document processes and present findings in a clear, actionable format



Who Can Apply:


Students or recent graduates in Computer Science, Data Science, Engineering, Statistics, or a related field


Must be available for at least 3 months


This is a remote and unpaid internship focused on skill-building and learning



Required Skills:


Proficiency in Python (NumPy, pandas, etc.)


Knowledge of machine learning concepts and basic algorithms


Familiarity with data visualization tools like Matplotlib or Seaborn


Strong analytical thinking and attention to detail


Good written and verbal communication skills



What You'll Gain:


Practical, hands-on experience working on live projects


Mentorship and collaboration with experienced data professionals


Internship Certificate upon successful completion


Portfolio development with real-world data science tasks


Opportunity to grow in a supportive, learning-focused environment



How to Apply:

Send your resume and any supporting work (GitHub, Kaggle, reports, etc.) to:

📩 hello@ignitern.in

Shortlisted candidates will be contacted for a brief assignment or interview.

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